{"_buckets": {"deposit": "45434fea-8be4-438b-b0b8-2318e1efe8c4"}, "_deposit": {"id": "3329", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3329"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3329", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Discovering Time Constraint Association Rules in Web Server Log Files", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Web mining generates web access patterns,web structures, regularity and dynamics of webcontents. Association rules are used to describewhat items are frequently bought together. Onecould also use them in web usage mining todescribe the pages that are often visited together.This paper presents time-constraint associationrules by extensions of Apriori algorithm, whereSupport and confidence ratios are also computed.Current web usage mining algorithms based onassociation rule do not consider the time sequenceof web usage data. Time-constraint associationused in this paper not only maintains thesequential information, but also set the time frameof the web usage data. In time constraintassociation rule, time ratios express theconditional probability of X and Y occurring in thetime window defined by t1 and t2, given the factthat X and Y are accessed together in the samesession. This system generates association rulesbased on time constraints; i.e; in which, accesspattern occur in the same time frame. Rulesgenerated from this system can be applied torecommender system, where there is morerelationship between pages with time constraint."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-19"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "241_PDFsam_PSC_final proof.pdf", "filesize": [{"value": "137 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 137000.0, "url": {"url": "https://meral.edu.mm/record/3329/files/241_PDFsam_PSC_final proof.pdf"}, "version_id": "b2d08871-7f14-4e23-99ea-6f5251aea0ac"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Eighth Local Conference on Parallel and Soft Computing", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Lwin, Ei Zar"}, {"subitem_authors_fullname": "Oo, Khwar Nyo"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2017-12-27"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1090"}, "item_title": "Discovering Time Constraint Association Rules in Web Server Log Files", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003329", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-19"}, "publish_date": "2019-07-19", "publish_status": "0", "recid": "3329", "relation": {}, "relation_version_is_last": true, "title": ["Discovering Time Constraint Association Rules in Web Server Log Files"], "weko_shared_id": -1}